Barnabás Póczos
Carnegie Mellon University(US)
Publications by Year
Research Areas
Statistical Methods and Inference, Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques, Gaussian Processes and Bayesian Inference, Blind Source Separation Techniques
Most-Cited Works
- Deep Sets(2017)
- → Characterizing and Avoiding Negative Transfer(2019)444 cited
- → Gradient Descent Provably Optimizes Over-parameterized Neural Networks(2018)418 cited
- → Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities(2019)411 cited
- → One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models(2017)327 cited
- → Competence-based Curriculum Learning for Neural Machine Translation(2019)306 cited
- → Neural Architecture Search with Bayesian Optimisation and Optimal Transport(2018)265 cited
- → MMD GAN: Towards Deeper Understanding of Moment Matching Network(2017)255 cited
- → Stochastic Variance Reduction for Nonconvex Optimization(2016)242 cited